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Dr. Manoj Kumar Yadav

Assistant Professor
Department of Biomedical Engineering

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Degree Specialization University/Institute Name, Year
Ph.D. Bioinformatics Banaras Hindu University, 2013
M.Sc Bioinformatics University Of Allahabad, 2006
B.Sc Chemistry, Botany, Zoology University Of Allahabad, 2004

Research Interests

  • Application of Machine Learning, Artificial Intelligence and Data Science in solving classification and regression related research problems
  • Predictive Modelling for diagnosis of Breast Cancer using ML Algorithms.
  • Genome-wide study to identify the role of different factors shaping codon usage bias in human infecting Plasmodium species
  • Identification of potent drug targets and inhibitor designing using Computational methods
  • Study of Macro-molecular interactions using Molecular Dynamics Simulation and Computer-Aided Drug Designing

Current Courses Taught / Teaching Interest

  • AI and ML in Biological Sciences (MSBM209
  • Introduction Bioinformatics and Computational Biology (MSBM106)
  • Biostatistics (MSBM203)
  • Introduction to MATLAB (CS1309)
  • Medical-Informatics (BI0401)
  • PERL Programming and BioPERL (BI 0302)
  • Cheminformatics and Drug Design (BT0302)

Academic Experience / Industrial Experience

  • Thorough Academician and Researcher with over 15 years of experience and held positions in Department of Bioinformatics, Biotechnology, Medical Biotechnology in Banaras Hindu University, Varanasi,  Pt J N M Government Medical College, Raipur etc.
  • Associated with SRM University, Delhi-NCR, Sonepat since 2018.

Achievements / Awards / Recognitions

  • Honorary “Fellow of Society of Life Sciences (S.L.Sc.)” from National Society of Life Sciences, India
  • Qualified National Eligibility Test (NET) in June-2008 and December-2009
  • Qualified Graduate Aptitude Test in Engineering (GATE)-2009
  • Member of editorial board and Reviewer of many peer reviewed journals

R&D / Industrial Projects

  • Principal Investigator of Research project from Science and Engineering Research Board (SERB), Department of Science and Technology (DST), GOI entitled “Drug repurposing against key COVID-19 Drug Targets using advance Machine Learning based algorithms” awarded in 2020. Status: Completed
  • Extramural Research project from Indian Council of Medical Research (ICMR) entitled “Searching new antimalarial drugs: In-silico identification and characterization of drug targets and designing lead compounds against identified targets”. Duration: 03 years (11/2011-03/2014). Status: Completed

Selected Publications/Working Papers

  • K. Yadav, S. Ahmad, K. Raza M. Eswaran, M. Pasha KM (2022) “Predictive modeling and therapeutic repurposing of natural compounds against receptor-binding domain of SARS-CoV-2,” J. Biomol. Struct. Dyn, 2022, 1-13 (Advance online publication) doi:10.1080/07391102.2021.2021993.
  • Jha, B. Dehury, S.P.J. Kumar, A. Chaurasia, U.B. Singh, M.K. Yadav, U.B. Angadi, R. Ranjan, R.B. Subramanian, M. Tripathy, S. Kumar (2021) “Delineation of molecular interactions of PGPR induced ?-1,3-glucanases and guanosine triphosphate (GTP) ligand for antifungal response in rice,” Mol Biol Rep., 2021 (Advance online publication) doi:10.1007/s11033-021-07059-5.
  • K. Yadav, M. K. Tripathi, S. Yadav, “Discovery of novel inhibitors targeting Plasmodium knowlesi Dihydrofolate Reductase using molecular docking and molecular dynamics simulation,” Molecular Pathogenesis, 2021 161:1:14, doi: 10.1016/j.micpath.2021.105214.
  • K. Yadav and S. Gajbhiye, “Genome-wide characterization and identification of synonymous codon usage patterns in Plasmodium knowlesi,” bioRxiv, p. 2021.01.01.425038, Jan. 2021, doi: 10.1101/2021.01.01.425038.
  • Tyagi, A. Paul, V. S. Raj, K. K. Ojha, M. K. Yadav, “A Drug Repurposing Approach to Identify Therapeutics by Screening Medicines for Malaria Ventures Exploiting SARS-CoV-2 Main Protease,” ChemRxiv. Preprint., Jan. 2021, doi:10.26434/chemrxiv.13578203.v1.
  • Choubey, K. Girdhar, A. K. Kar, S. Kushwaha, M. K. Yadav, D. Ghosh, P. Mondal, “Low-dose naltrexone rescues inflammation and insulin resistance associated with hyperinsulinemia,” J. Biol. Chem., 2020, doi: 10.1074/jbc.RA120.013484.
  • K. Yadav, A. Vibhuti, A. Priyadarshini, A. Gupta, V. S. Raj, R. P. Pandey, “Outbreak of strains of SARS CoV-2, its prevalence & preventive measures taken by different Countries”, 25-Nov-2020. [Online]. Available:
  • Gupta, A. Priyadarshini, M. K. Yadav, A. Vibhuti, V. S. Rajand R. P. Pandey, “Differential behavior of COVID-19 in Multi-Country Journey: Challenges for Drug Intervention”, 01-Jan-2021. [Online]. Available:
  • K. Yadav, R. R. Bharti, and M. Rashmi, “Exploration and identification of novel inhibitors against Knowpain-4 of P. knowlesi using a combinatorial 3D pharmacophore modeling approach,” Netw. Model. Anal. Heal. Informatics Bioinforma., vol. 9, no. 1, 2020, doi: 10.1007/s13721-020-00273-4.
  • Sharma and M. K. Yadav, “In Silico Identification of Antimalarial Drug Targets and Screening of Potential Inhibitors in Plasmodium vivax,” Res. Rev. J. Comput. Biol., vol. 9, no. 1, pp. 52–75, 2020.
  • Mishra, L. Samanta, S. Jena, S. S. Swain, S. Kumar, M. K. Yadav, B. Paital., “Possible activation of NRF2 by Vitamin E/Curcumin against altered thyroid hormone induced oxidative stress via NF?B/AKT/mTOR/KEAP1 signalling in rat heart,” Sci. Rep., 2019, doi: 10.1038/s41598-019-43320-5.
  • Gajbhiye, P. K. Patra, and M. K. Yadav, “New insights into the factors affecting synonymous codon usage in human infecting Plasmodium species,” Acta Tropica. 2017, doi: 10.1016/j.actatropica.2017.07.025.
  • Sahu, P. K. Patra, M. K. Yadav, and M. Varma, “Identification and characterization of ErbB4 kinase inhibitors for effective breast cancer therapy,” J. Recept. Signal Transduct., 2017, doi: 10.1080/10799893.2017.1342129.
  • Rashmi, M. K. Yadav, and D. Swati, “Targeting Pyrimidine Pathway of Plasmodium knowlesi: New Strategies Towards Identification of Novel Antimalarial Chemotherapeutic Agents,” Comb. Chem. High Throughput Screen., 2017, doi: 10.2174/1386207320666170315123044.
  • Mayank Rashmi, D Swati, K. Yadav, “Structural and functional characterization of J- binding protein in Leishmania major and Trypanosoma brucei,” Life Sci. Bull., vol. 14, no. 1, pp. 1–4, 2017.
  • Rashmi, M. K. Yadav, and D. Swati, “Leucine Rich Repeats as Potential Targets for Plasmodium knowlesi,” J. Appl. Bioinforma. Comput. Biol., vol. 6, no. 6, pp. 1–9, 2017, doi: 10.4172/2329-9533.1000129.
  • K. Yadav, D. Swati, P. K. Patra, “Current status of comparative genomics and inhibitors of Plasmodium species: A systematic review,” Int. J. Pharma Bio Sci., vol. 7, no. 1, pp. 74–82, 2016.
  • K. Yadav and D. Swati, “In Silico Study of Variable Surface Proteins in Plasmodium Species: Perspectives in Drug Design,” Interdiscip. Sci. Comput. Life Sci., vol. 8, no. 3, pp. 294–302, 2016, doi: 10.1007/s12539-015-0283-8.
  • K. Yadav, A. Singh, and D. Swati, “A Knowledge-Based Approach for Identification of Drugs Against Vivapain-2 Protein of Plasmodium vivax Through Pharmacophore-Based Virtual Screening with Comparative Modelling,” Appl. Biochem. Biotechnol., vol. 173, no. 8, pp. 2174–2188, 2014, doi: 10.1007/s12010-014-1023-y.
  • Dubey, P. Singh, A. Kumar, M. K. Yadav, D. Swati, M. Vinayak, A. K. Tewari, “Polymorphic Signature of the Anti-inflammatory Activity of 2,2?-{[1,2-Phenylenebis (methylene)]bis(sulfanediyl)}bis(4,6-dimethylnicotinonitrile),” Cryst. Growth Des., vol. 14, no. 3, pp. 1347–1356, Mar. 2014, doi: 10.1021/cg401842y.
  • K. Yadav, S. K. Pandey, and D. Swati, “Drug target prioritization in Plasmodium Falciparum through metabolic network analysis, and inhibitor designing using virtual screening and docking approach,” J. Bioinform. Comput. Biol., 2013, doi: 10.1142/S0219720013500030.
  • K. Yadav and D. Swati, “Comparative genome analysis of six malarial parasites using codon usage bias based tools.,” Bioinformation, vol. 8, no. 24, pp. 1230–1239, 2012, doi: 10.6026/97320630081230.
  • M. K. Yadav, A. Mishra, D. Swati “Comparative genomics and phylogenetic study of P. falciparum and P. vivax,” Int. J. Biosci. Technol., vol. 3, no. 4, pp. 46-54, 2010

Other Information

  • Global Certification in Data Science (online) from International School of Artificial Intelligence and Data Science (INSAID) to upskill myself in Data analysis, Machine Learning & Data visualization
  • Reviewers and member of editorial board of many peer reviewed journals.
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